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A Review of Semantic Sensor Technologies in Internet of Things Architectures

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  • Gergely Marcell Honti
  • Janos Abonyi

Abstract

Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.

Suggested Citation

  • Gergely Marcell Honti & Janos Abonyi, 2019. "A Review of Semantic Sensor Technologies in Internet of Things Architectures," Complexity, Hindawi, vol. 2019, pages 1-21, June.
    • Handle: RePEc:hin:complx:6473160
    DOI: 10.1155/2019/6473160
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    References listed on IDEAS

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    1. Payam Barnaghi & Wei Wang & Cory Henson & Kerry Taylor, 2012. "Semantics for the Internet of Things: Early Progress and Back to the Future," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global Scientific Publishing, vol. 8(1), pages 1-21, January.
    2. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    3. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    4. Thomas Gruber, 2007. "Ontology of Folksonomy: A Mash-Up of Apples and Oranges," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global Scientific Publishing, vol. 3(1), pages 1-11, January.
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    1. Maryam Barzegar & Abolghasem Sadeghi-Niaraki & Maryam Shakeri & Soo-Mi Choi, 2019. "An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling," Complexity, Hindawi, vol. 2019, pages 1-15, November.

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